So far, deep learning approaches for PSP have vastly been used as one of the component in the entire pipeline rather than implicitly being implemented as the driving force. Majority of its use revolve around prediction of residue-residue contacts, which are primarily derived through co-evolutionary approaches and/or by building sequence alignment profiles [1]}, [2]}, [3]}.
